摘要: 目录TIGER: Recommender Systems with Generative RetrievalTL;DRMethodSemantic ID的生成过程 以及 在生成式推荐中的用法 示意图Semantic ID生成使用RQ-VAE算法ExperimentQ&A相关链接 TIGER: Rec 阅读全文
posted @ 2025-12-02 13:22 fariver 阅读(17) 评论(0) 推荐(0)
摘要: 目录Generative Recommendation with Semantic IDs: A Practitioner’s HandbookTL;DRMethodExperimentQ&A总结与思考相关链接 Generative Recommendation with Semantic IDs: 阅读全文
posted @ 2025-11-25 10:48 fariver 阅读(23) 评论(0) 推荐(0)
摘要: 目录GME: Improving Universal Multimodal Retrieval by Multimodal LLMsTL;DRMethodModel多模态数据数据合成Experiment效果可视化总结与思考 GME: Improving Universal Multimodal Re 阅读全文
posted @ 2025-11-03 13:39 fariver 阅读(33) 评论(0) 推荐(0)
摘要: 目录UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding LearningTL;DRMethodMLLM-as-a-Judge for Hard Negatives MiningMLLM Judgment Based Trainin 阅读全文
posted @ 2025-10-30 10:24 fariver 阅读(26) 评论(0) 推荐(0)
摘要: 目录Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMsTL;DRMethod阶段一:Textual Discriminative Knowledge Distillation阶段二:Hard 阅读全文
posted @ 2025-10-28 12:10 fariver 阅读(21) 评论(0) 推荐(0)
摘要: 目录Qwen2.5-VL Technical ReportTL;DRMethodFast and Efficient Vision EncoderMRoPE对齐绝对时间信息Pre-TrainingInterleaved Image-Text DataGrounding Data with Absol 阅读全文
posted @ 2025-10-25 17:16 fariver 阅读(32) 评论(0) 推荐(0)
摘要: 目录DeepSeek-OCR: Contexts Optical CompressionTL;DRMethodDeepEncoderDeepDecoderDataExperiment总结与思考相关链接 DeepSeek-OCR: Contexts Optical Compression link 时 阅读全文
posted @ 2025-10-21 22:49 fariver 阅读(77) 评论(0) 推荐(0)
摘要: 目录SAIL-Embedding Technical Report: Omni-modal Embedding Foundation ModelTL;DRDataRecommendation-aware Data ConstructionDynamic Hard Negative MiningQ:动 阅读全文
posted @ 2025-10-18 18:20 fariver 阅读(62) 评论(0) 推荐(0)
摘要: 目录VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual DocumentsTL;DRMethodQ:VLM2Vec-V2与原始VLM2Vec算法有什么区别?BenchmarkQ&AQ:CLS, QA, R 阅读全文
posted @ 2025-10-17 19:51 fariver 阅读(41) 评论(0) 推荐(0)
摘要: 目录VLM2VEC: TRAINING VISION-LANGUAGE MODELS FOR MASSIVE MULTIMODAL EMBEDDING TASKSTL;DRMethodDatasetExperimentQ&AQ:VLM2Vec与普通VLM有什么区别?难道仅仅是会将embedding存 阅读全文
posted @ 2025-10-16 22:37 fariver 阅读(38) 评论(0) 推荐(0)